Quantitative Trader – Equities (Strategy Monetization)

📋 Description

• Research and evaluate new trading signals and strategy ideas with a focus on monetization potential
• Design and run large-scale backtests to assess P&L, risk, capacity, robustness
• Analyse transaction costs, market impact, and execution assumptions in backtests
• Optimize portfolio construction, capital allocation, and risk controls across strategies
• Collaborate with engineers to improve backtesting infrastructure, data quality, and tooling
• Partner with live traders to align research assumptions with real-world execution

🎯 Requirements

• Degree in a quantitative field (Math, Physics, CS, Engineering, Economics, or similar)
• 3+ years of experience in quantitative trading or monetization research, preferably in equities
• Strong experience with backtesting frameworks, large datasets, and systematic performance evaluation
• Deep understanding of market microstructure, transaction costs, and scalability constraints
• Strong programming skills (Python/C++ strongly preferred); ability to write clean, research-grade code
• Rigorous, detail-oriented mindset with strong statistical intuition